La infografía : Otra forma de leer, otra forma de comprender : secuencia didáctica para el fortalecimiento de la comprensión lectora en estudiantes de grado noveno EBS

El presente trabajo tiene como objetivo diseñar una secuencia didáctica para el fortalecimiento de la comprensión lectora en estudiantes de grado noveno de básica secundaria, a partir de textos discontinuos e infográficos, tomados estos como estrategias que motiven y estimulen los procesos de lectura y escritura y el interés por comprender otros mundos posibles de significación

Educación ética y política según Aristóteles en la sociedad colombiana.

En la actualidad, las actitudes en el comportamiento humano son importantes desde el punto de vista moral, pero la moral no tiene el mismo significado para las personas, es por esto que se deben tener en cuenta los actos voluntarios e involuntarios, para establecer el nivel de responsabilidad, dicho en otras palabras, se refiere a la culpa o la inocencia ante un hecho cotidiano en la sociedad, de esta manera evitar que tan solo peque el ignorante, pues, también es culpable el que actúa mal, a voluntad, el que actúa a conciencia teniendo el conocimiento y aun así, decide sacar provecho en una acción.At present, attitudes in human behavior are important from the moral point of view, but morality does not have the same meaning for people, that is why voluntary and involuntary acts must be taken into account, to establish the level Responsibility, in other words, refers to guilt or innocence in the face of a daily fact in society, in this way to avoid that only the ignorant sin, because, it is also guilty who acts badly, at will, whoever He acts conscientiously having the knowledge and even so, he decides to take advantage of an action

First Proteomic Approach to Identify Cell Death Biomarkers in Wine Yeasts during Sparkling Wine Production

Apoptosis and later autolysis are biological processes which take place in Saccharomyces cerevisiae during industrial fermentation processes, which involve costly and time-consuming aging periods. Therefore, the identification of potential cell death biomarkers can contribute to the creation of a long-term strategy in order to improve and accelerate the winemaking process. Here, we performed a proteomic analysis based on the detection of possible apoptosis and autolysis protein biomarkers in two industrial yeast strains commonly used in post-fermentative processes (sparkling wine secondary fermentation and biological aging) under typical sparkling wine elaboration conditions. Pressure had a negatively effect on viability for flor yeast, whereas the sparkling wine strain seems to be more adapted to these conditions. Flor yeast strain experienced an increase in content of apoptosis-related proteins, glucanases and vacuolar proteases at the first month of aging. Significant correlations between viability and apoptosis proteins were established in both yeast strains. Multivariate analysis based on the proteome of each process allowed to distinguish among samples and strains. The proteomic profile obtained in this study could provide useful information on the selection of wine strains and yeast behavior during sparkling wine elaboration. Additionally, the use of flor yeasts for sparkling wine improvement and elaboration is proposed

A Differential Proteomic Approach to Characterize the Cell Wall Adaptive Response to CO2 Overpressure during Sparkling Wine-Making Process

In this study, a first proteomic approach was carried out to characterize the adaptive response of cell wall-related proteins to endogenous CO2 overpressure, which is typical of second fermentation conditions, in two wine Saccharomyces cerevisiae strains (P29, a conventional second fermentation strain, and G1, a flor yeast strain implicated in sherry wine making). The results showed a high number of cell wall proteins in flor yeast G1 under pressure, highlighting content at the first month of aging. The cell wall proteomic response to pressure in flor yeast G1 was characterized by an increase in both the number and content of cell wall proteins involved in glucan remodeling and mannoproteins. On the other hand, cell wall proteins responsible for glucan assembly, cell adhesion, and lipid metabolism stood out in P29. Over-represented proteins under pressure were involved in cell wall integrity (Ecm33p and Pst1p), protein folding (Ssa1p and Ssa2p), and glucan remodeling (Exg2p and Scw4p). Flocculation-related proteins were not identified under pressure conditions. The use of flor yeasts for sparkling wine elaboration and improvement is proposed. Further research based on the genetic engineering of wine yeast using those genes from protein biomarkers under pressure alongside the second fermentation in bottle is required to achieve improvements

EMPARELHAMENTO POR IDENTIDADE EM ABELHAS DO GÊNERO MELIPONA (M. QUADRIFASCIATA E M. RUFIVENTRIS)

Previous studies with honeybees used matching-to-sample (MTS) procedure to establish relations between stimuli. Several studies on discriminative learning in honeybees have reported the use of Apis mellifera, but only a few studies have used other species, such as bees of the genus Melipona. The objective of the present study was to establish identity relations using a Y-maze apparatus in two species of honeybees. Both groups received training on blue-blue and yellow-yellow visual identity relations. Four of five Melipona quadrifasciata bees and four of six Melipona rufiventris bees learned the task. Our results extend the generality of responding controlled by identity relations in nonhumans. Keywords: matching-to-sample, identity matching, Melipona quadrifasciata, Melipona rufiventris.   Poucos estudos com abelhas empregaram o procedimento de emparelhamento com o modelo (matching-to-sample, ou MTS), tipicamente empregado com outros animais no ensino de relações entre estímulos. Na literatura sobre aprendizagem discriminativa em abelhas, encontram-se vários estudos com operárias da espécie Apis mellifera, porém existem poucos estudos desse tipo com abelhas de outras espécies. O objetivo deste estudo foi estabelecer relações de identidade em um procedimento de MTS, usando-se como sujeitos duas espécies de abelhas do gênero Melipona. Foi usado um labirinto em “Y”, de tal modo que o estímulo modelo era apresentado na sua entrada e dois estímulos de comparação eram dispostos nas suas saídas. Eram treinadas as relações de identidade entre estímulos visuais azul-azul e amarelo-amarelo. Quatro dentre cinco abelhas da espécie Melipona quadrifasciata e quatro dentre seis abelhas da espécie Melipona rufiventris aprenderam a tarefa. Os resultados estendem a generalidade do responder por identidade em não-humanos. Palavras-chave: Emparelhamento com o modelo, emparelhamento por identidade, abelhas, Melipona quadrifasciata, Melipona rufiventris.

Electroestimulador inteligente y sistema de clonación artificial de sensores de movimiento y control adaptativo-productivo, por acupuntutra con agujas-electrodos y transmisión inalámbrica, evaluado en un diseño de prototipo construido

La electroestimulación es desde hace mucho tiempo, una herramienta de "terapia ocupacional"; la mayor parte de las patologías necesitan un tratamiento sensitivo y un tratamiento motor (fortalecimiento y/o estiramiento de los músculos). Entre las investigaciones que se realizan en el Laboratorio de Computo Especializado- LCE de la UNAB, por el Grupo de Control y Mecatrónica reconocido por Colciencias, en este proyecto de investigación sobre un electro estimulador inteligente, que utiliza como electrodos, las agujas de acupuntura y aplica una metodología basada en la clonación artificial de sensores y controladores automáticos, extendida a equipos biomédicos, con transmisión inalámbrica, de las señales eléctricas de electroestimulación.Electrostimulation has long been an "occupational therapy" tool; the most of the pathologies need a sensitive treatment and a motor treatment (strengthening and / or stretching of muscles). Among the investigations carried out in the Specialized Computing Laboratory- LCE of the UNAB, by the Control and Mechatronics Group recognized by Colciencias, in this research project on an electro stimulator intelligent, which uses acupuncture needles as electrodes and applies a methodology based on the artificial cloning of sensors and automatic controllers, extended to biomedical equipment, with wireless transmission, of electrical signals electrostimulation

ANALYSIS OF KEY FACTORS FOR COMPETITIVENESS IN THE SOFTWARE INDUSTRY: PERSPECTIVE OF THE BUSINESSMAN IN COLOMBIA

This paper presents an analysis of the key factors that, seen from the point of view of entrepreneurs in the software development industry in Colombia, may have a positive effect on the competitiveness of this sector. The starting point of this research is based on improvement opportunities for these companies, taking into account the attractive aspect of this industry due to its high degree of innovation and value-added products.The research was developed with a mixed approach, with an exploratory and a descriptive scope; performing an interpretative work on bibliographic sources and subsequently designing an instrument for acquiring data related to factors that influence the competitiveness of the sector. From these results, a correlation analysis of variables, useful for purposes of sectoral intervention was performed.As a result, there is a correlation between competitiveness and the variables associated with government support, quality of education, existing certifications and processes of economic openness. These results are expected to be useful in promoting programs, plans, and sectoral projects for continuous improvement of the companies that are part of the analyzed sector

Autophagic Proteome in Two Saccharomyces cerevisiae Strains During Second Fermentation for Sparkling Wine Elaboration

A correlation between autophagy and autolysis has been proposed in order to accelerate the acquisition of wine organoleptic properties during sparkling wine elaboration. In this context, a proteomic analysis was carried out in two industrial Saccharomyces cerevisiae strains (P29, conventional sparkling wine strain and G1, implicated in sherry wine elaboration) with the aim of studying the autophagy-related proteome and comparing the effect of CO2 overpressure during sparkling wine elaboration. In general, a detrimental effect of pressure and second fermentation development on autophagy-related proteome was observed in both strains, although it was more pronounced in flor yeast strain G1. Proteins mainly involved in autophagy regulation and autophagosome formation in flor yeast G1, and those required for vesicle nucleation and expansion in P29 strain, highlighted in sealed bottle. Proteins Sec2 and Sec18 were detected 3-fold under pressure conditions in P29 and G1 strains, respectively. Moreover, ‘fingerprinting’ obtained from multivariate data analysis established differences in autophagy-related proteome between strains and conditions. Further research is needed to achieve more solid conclusions and design strategies to promote autophagy for an accelerated autolysis, thus reducing cost and time production, as well as acquisition of good organoleptic properties

Continual Multi-task Gaussian Processes

We address the problem of continual learning in multi-task Gaussian process (GP) models for handling sequential input-output observations. Our approach extends the existing prior-posterior recursion of online Bayesian inference, i.e.\ past posterior discoveries become future prior beliefs, to the infinite functional space setting of GP. For a reason of scalability, we introduce variational inference together with an sparse approximation based on inducing inputs. As a consequence, we obtain tractable continual lower-bounds where two novel Kullback-Leibler (KL) divergences intervene in a natural way. The key technical property of our method is the recursive reconstruction of conditional GP priors conditioned on the variational parameters learned so far. To achieve this goal, we introduce a novel factorization of past variational distributions, where the predictive GP equation propagates the posterior uncertainty forward. We then demonstrate that it is possible to derive GP models over many types of sequential observations, either discrete or continuous and amenable to stochastic optimization. The continual inference approach is also applicable to scenarios where potential multi-channel or heterogeneous observations might appear. Extensive experiments demonstrate that the method is fully scalable, shows a reliable performance and is robust to uncertainty error propagation over a plenty of synthetic and real-world datasets